Gemini 2.5 Flash vs GPT-5.6 Luna
google/gemini-2.5-flash · openai/gpt-5.6-luna
As of November 2, 2026, GPT-5.6 Luna is the cheaper API on UberLLM: $0.0020 per million input tokens and $0.0121 per million output, versus $0.0060 / $0.0500 for Gemini 2.5 Flash, about 75% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose GPT-5.6 Luna to cut cost; choose Gemini 2.5 Flash when its capabilities fit your task better.
Gemini 2.5 Flash vs GPT-5.6 Luna, side by side
| Spec | Gemini 2.5 Flash | GPT-5.6 Luna |
|---|---|---|
| Price · input / 1M | $0.0060 | $0.0020 |
| Price · output / 1M | $0.0500 | $0.0121 |
| Context length | 1,048,576 | 1,050,000 |
| Max output tokens | 65,535 | 128,000 |
| Input modalities | text, image | text, image, file |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | — | Yes |
| % off list | 98% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 2, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Gemini 2.5 Flash vs GPT-5.6 Luna — FAQ
Is Gemini 2.5 Flash or GPT-5.6 Luna cheaper?
GPT-5.6 Luna is cheaper on a blended token mix, by about 75%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Gemini 2.5 Flash and GPT-5.6 Luna?
Gemini 2.5 Flash: $0.0060 in / $0.0500 out per 1M tokens. GPT-5.6 Luna: $0.0020 in / $0.0121 out per 1M tokens. That's roughly a 75% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Gemini 2.5 Flash and GPT-5.6 Luna with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.